Head of Locomotion & Controls; Humanoid Robot
VinDynamics4 months ago
Reno, NV, United States
On-site
Full-time
Junior Level (1-3 years)
Job Description
Position: Head of Locomotion & Controls (Humanoid Robot)
About Vin Dynamics
At Vin Dynamics, we design safe, affordable, and intelligent humanoid robots to assist in everyday life — robots for everyone. Backed by Vin Group, Vietnam’s leading technology conglomerate, we are on a mission to make advanced robotics accessible, reliable, and beneficial for billions of people worldwide. By combining cutting-edge AI, world-class engineering, and human-centered design, we aim to seamlessly integrate robots into daily life — enhancing safety, productivity, and happiness at home and beyond.
Overview
- Position: Head of Locomotion & Controls (Humanoid Robot)
- Company: Vin Dynamics
- Division - Department: Research and Development
- Report to: Director of Research and Development
- Location: Reno, Nevada, USA
Responsibilities
- Define the vision and roadmap for the Mobility Robotics stack, covering locomotion, navigation, motion planning, control, and the full mobility intelligence layer of the robot
- Build and lead a high-performing Mobility Robotics team, combining robotics software engineers, control engineers, and reinforcement learning engineers
- Collaborate closely with Mechanical, Electronics/Firmware, SLAM and Navigation, and Systems Engineering teams to ensure seamless end-to-end integration between mobility software and the full robot system
- Stay ahead of industry and academic advances in locomotion, dynamic control, navigation, and autonomous mobility to shape R&D priorities and long-term technology strategy
- Ensure real-time, safe, and robust mobility performance in complex, unstructured, and continuously changing environments
Relevant Education and Experience
- Master’s or PhD in Computer Science, Robotics, or related fields
- Minimum 5 years working in robotics software
- Strong background in robot dynamics, kinematics, and control theory, including optimal control and nonlinear systems
- Advanced experience with reinforcement learning and imitation learning for mobility and locomotion
- Hands‑on experience with model‑based controllers such as MPC, WBC, or impedance control
- Experience with physics‑based simulation such as Bullet Sim, Mujoco, Isaac Lab
- Experience integrating perception such as vision and depth into locomotion
Personality / Attitude
- Strong interpersonal, organizational, and leadership skills
- Proactive, dedicated, business‑oriented, responsible, and willing to learn
- Good communication skills, creative problem‑solving skills, and attention to detail
Required Skills
Model-based Controllers (MPC, WBC, Impedance Control)
Control Theory
Robot Dynamics
Kinematics
Physics-based Simulation (Bullet Sim, Mujoco, Isaac Lab)
Robotics Software Engineering
Imitation Learning
Integrated Perception (Vision and Depth)
Reinforcement Learning